Клініко-лабораторні співвідношення у хворих з наслідками черепно-мозкової травми
Bibliographic record
Abstract
The aim of this study was to establish main peculiarities of apoptosis of peripheral blood leukocytes in patients with traumatic brain injury consequences of varying severity under conditions of disease progressionMethods. In 220 patients with the effects of light (71), moderate (59) and hard (90) TBI and the catamnesis of trauma in the age from 1 to 30 years percentage of peripheral blood leukocytes in stage of apoptosis (ANV +) and necrotic (PI +) and the level of reactive oxygen species (ROS +) was explored by flow cytofluorometry method. The control group consisted of 30 people representative by age and sex. Neurological status was assessed by Neurological Outcome Scale for Traumatic Brain Injury (NOS-TBI), cognitive status - Montreal scale for cognitive deficit (Mosa), the level of anxiety and depression – by the HADS scaleResults. Patients with TBI consequences of varying severity established significant growth indicators characterizing the level of necrosis and apoptosis of peripheral blood leukocytes, and increase the percentage of cells containing active oxygen species. Reliable dependence of indicators RI + ANV + peripheral blood leukocytes and ROS + on patient's age, duration and type of injury was not foundConclusions. Conditioned upon progression of neurological deficit (accession of extra-pyramidal symptoms, occurrence and progression of cognitive disorders, etc.) significantly higher values RI + ANV + peripheral blood leukocytes and ROS + were found
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".